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Economics Data Science Jobs (NOW HIRING)

Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required. Experience: * Two years of relevant work ...

Data Scientist

Cincinnati, OH · On-site

$120 - $150/hr

Required Qualifications * 3+ years of applied Data Science experience. * Strong experience with causal inference, causal ML, econometrics, or experimentation. * Experience measuring treatment effects ...

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Required Qualifications * 3+ years of applied Data Science experience. * Strong experience with causal inference, causal ML, econometrics, or experimentation. * Experience measuring treatment effects ...

Required Qualifications * 3+ years of applied Data Science experience. * Strong experience with causal inference, causal ML, econometrics, or experimentation. * Experience measuring treatment effects ...

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Bachelor's or Master's degree in Mathematics, Statistics, Economics, Data Science, Engineering, Technical Finance, or a related quantitative field. * Combines deep analytical expertise with ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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Economics Data Science information

See salary details

$41.5K

$142.5K

$201K

How much do economics data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for economics data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is an economics data science?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

What are common projects or responsibilities for professionals in economics data science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

What are the key skills and qualifications needed to thrive in economics data science, and why are they important?

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

More about Economics Data Science jobs

What cities are hiring for Economics Data Science jobs?

Cities with the most Economics Data Science job openings:

What are the most commonly searched types of Economics Data Science jobs?

The most popular types of Economics Data Science jobs are:

What states have the most Economics Data Science jobs?

States with the most job openings for Economics Data Science jobs include:

Infographic showing various Economics Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Data Scientist (Mid-level - Principal)

Aep

Bridgman, MI • On-site

$116K - $151K/yr

Full-time

Posted 8 days ago


Job description

Job Posting End Date

08-24-2026

Please note the job posting will close on the day before the posting end date.

Job Summary

Please Note: This position is posted in a range, and an offer will be made based on the candidate's qualifications.
Responsible for conducting intermediate analysis on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. This includes data mining, data auditing, aggregation, validation, and reconciliation. Build reports for management as well as conducts basic hypothesis tests (contextualize basic levels of complexity). Utilizes analytics and statistical software such as SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and others to perform analysis and interpret data. Create visual dashboards.

Job Description

What You'll Do:

  • Develop moderately complex analytical tools to solve high-value business problems across AEP.
  • Proficiently utilize analytical tools and data management skills to provide actionable business intelligence.
  • Continue building and acquiring business knowledge across the organization and utilize knowledge to perform meaningful analyses.
  • Identify and acquire data pertinent to solving business problems.
  • Develop components of predictive and prescriptive systems to optimize operations and support strategic initiatives.
  • Apply data visualization tools to large data sets to enhance data understanding.
  • Perform research to keep abreast of industry practices.
  • Utilize inquiry skills to obtain a clear understanding of business processes and needs.
  • Work with stakeholders to determine value that additional information derived from proper analysis could provide.
  • Collaborate with technology partners to develop data acquisition and data management practices.
  • Develop concise, meaningful written reports and provide oral presentation. Develop reporting dashboards that meet business needs for status, trends, and variances.
  • Collaborate with technology and business units to operationalize meaningful reports and dashboards of industry practices.
  • Consult with business unit partners to identify, prioritize, and develop actionable insights, providing analyses across a variety of core business areas.

What We're Looking For:

Data Scientist, Mid-level/ Salary Grade 7 ($87,633 - $109,544):

Education:

  • Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

Experience:

  • Two years of relevant work experience is required. An equivalent combination of education and related experience may be considered.

Other Requirements:

  • Experience with analytics packages, such as SAS, R, SPSS.

Data Scientist, Senior/ Salary Grage 8 ($98,993 - $128,689):

Education:

  • Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

Experience:

  • Five years of relevant work experience is required. An equivalent combination of education and related experience may be considered.

Other Requirements:

  • Experience with analytics packages, such as SAS, R, SPSS.

Data Scientist, Principal/ Salary Grade 9 ($116,255 -$151,132):

Education:

  • Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

Experience:

  • Eight years of experience required. An equivalent combination of education and related experience may be considered.

Other Requirements:

  • Proficient and able to direct the use of analytics packages, such as SAS, R, SPSS.
  • Understands database concepts and is able to provide clear direction to staff assigned to manage data for analytics use cases.
  • Established leader working in a collaborative, team-oriented environment.
  • Strong problem solving and critical thinking skills.
  • Excellent oral and written communication skills.

Must establish and maintain a permanent residence within a 45-minute safe drive time to the D.C. Cook Nuclear Power Plant.

What You'll Get:

In addition to competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.

The power of AEP comes from our valued team of unique employees...the best in the business! We're proud to be one of the largest electric energy companies in the U.S., powering over 5 million homes and businesses, spanning across 11 states. We're passionate about making an innovative difference in the communities we serve. We're powering the future - today!

American Electric Power (On-site)

$87K - 151K/ Year

#LI-ONSITE

#AEPIM

#AEPCareers

Compensation Data

Compensation Grade:

SP20-007

Compensation Range:

$87,633.00 - $151,132.50

The Physical Demand Level for this job is: S - Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.

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It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.